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How to Use the Wizehire MCP in Google ADK

Manage your entire recruiting pipeline with Wizehire, built for Google ADK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Google ADK

Connect Wizehire MCP to Google ADK

Create your Vinkius account to connect Wizehire to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Update candidate progress instantly

Need to move a person from 'Screening' to 'Interview'? Use `update_candidate_hiring_stage`. It directly manages candidates, job postings, and hiring stages via Wizehire. This tool handles the internal state change for that individual right away, letting your Google ADK agent update records in Wizehire.

List all active jobs or people

Want a quick overview? You can call `list_active_job_postings` to see every open role. Or run `list_candidates` if you need a full roster of everyone in the system. It's also easy to get team context by running `list_hiring_team`. This pulls names and roles straight from Wizehire.

Build profiles for new hires

When you find a great person, don't wait until they send an email. Use `create_new_candidate`, supplying just their name and email to get them into the system. For existing talent, pull up all the history on one specific candidate using `get_candidate_details`.

Setup guide

Set up Wizehire MCP in Google ADK

Prerequisites

  • Python 3.10+ installed
  • google-adk package (pip install google-adk)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 2

    Connect via SSE transport

    Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create an LlmAgent

    Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.

  4. 4

    Run with any Gemini model

    The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Wizehire tools in your ADK agent.

agent.py
from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Wizehire_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wizehire tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wizehire. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wizehire MCP in Google ADK

Just call `list_active_job_postings`. Your agent pulls a full list of all current openings, so you never have to manually check the status of jobs in Wizehire.
Absolutely. You can use `get_current_user` to retrieve the profile of the person running your agent. It keeps track of who is making changes in Wizehire.
You monitor system connectivity using `list_configured_webhooks`. This shows you every active hook set up in Wizehire. It's necessary for keeping your automated workflows running smoothly.
You get specific job details by calling `get_job_details`. This returns everything about a particular role, like the required skills or department within Wizehire.
The server touches candidate records (names and emails). Your agent interacts directly via API calls, allowing you to control which specific candidates' data are accessed when working within the Wizehire ecosystem.

Start using the Wizehire MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 12 tools

We've already built the connector for Wizehire. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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